I meant using |saveAsParquetFile|. As for partition number, you can
always control it with |spark.sql.shuffle.partitions| property.
Cheng
On 2/23/15 1:38 PM, nitin wrote:
I believe calling processedSchemaRdd.persist(DISK) and
processedSchemaRdd.checkpoint() only persists data and I will lose all the
RDD metadata and when I re-start my driver, that data is kind of useless for
me (correct me if I am wrong).
I thought of doing processedSchemaRdd.saveAsParquetFile (hdfs file system)
but I fear that in case my "HDFS block size" > "partition file size", I will
get more partitions when reading instead of original schemaRdd.
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